| graph-classification-on-dd | GCN | #29 | Accuracy: 78.151±3.465 |
| graph-classification-on-enzymes | GCN | #7 | Accuracy: 73.466±4.372 |
| graph-classification-on-imdb-b | GCN | #8 | Accuracy: 79.500±3.109 |
| graph-classification-on-nci1 | GCN | #19 | Accuracy: 84.185±0.644 |
| graph-classification-on-nci109 | GCN | #11 | Accuracy: 83.140±1.248 |
| graph-classification-on-proteins | GCN | #54 | Accuracy: 75.536±1.622 |
| graph-property-prediction-on-ogbg-code2 | GCN+virtual node | #7 | Test F1 score: 0.1595 ± 0.0018Ext. data: No… |
| graph-property-prediction-on-ogbg-code2 | GCN | #14 | Test F1 score: 0.1507 ± 0.0018Ext. data: No… |
| graph-property-prediction-on-ogbg-molhiv | GCN | #32 | Test ROC-AUC: 0.7606 ± 0.0097Ext. data: No… |
| graph-property-prediction-on-ogbg-molhiv | GCN+virtual node | #33 | Test ROC-AUC: 0.7599 ± 0.0119Ext. data: No… |
| graph-property-prediction-on-ogbg-molhiv | GCN (in Julia) | #35 | Test ROC-AUC: 0.7549 ± 0.0163Ext. data: No… |
| graph-property-prediction-on-ogbg-molpcba | GCN+virtual node | #24 | Test AP: 0.2424 ± 0.0034Ext. data: NoValidation AP: 0.2495 ± 0.0042… |
| graph-property-prediction-on-ogbg-molpcba | GCN | #29 | Test AP: 0.2020 ± 0.0024Ext. data: NoValidation AP: 0.2059 ± 0.0033… |
| graph-property-prediction-on-ogbg-ppa | GCN+virtual node | #13 | Ext. data: NoTest Accuracy: 0.6857 ± 0.0061… |
| graph-property-prediction-on-ogbg-ppa | GCN | #14 | Ext. data: NoTest Accuracy: 0.6839 ± 0.0084… |
| graph-regression-on-esr2 | GCN | #7 | R2: 0.642±0.000RMSE: 0.528±0.642 |
| graph-regression-on-f2 | GCN | #7 | R2: 0.878±0.000RMSE: 0.355±0.878 |
| graph-regression-on-kit | GCN | #7 | R2: 0.814±0.000RMSE: 0.469±0.814 |
| graph-regression-on-lipophilicity | GCN | #7 | RMSE: 0.565±0.011R2: 0.800±0.008 |
| graph-regression-on-parp1 | GCN | #7 | R2: 0.912±0.000RMSE: 0.372±0.912 |
| graph-regression-on-pcqm4mv2-lsc | GCN | #19 | Validation MAE: 0.1379Test MAE: 0.1398 |
| graph-regression-on-pgr | GCN | #8 | R2: 0.658±0.000RMSE: 0.565±0.658 |
| graph-regression-on-zinc-full | GCN | #19 | Test MAE: 0.152±0.023 |
| heterogeneous-node-classification-on-acm | GCN | #5 | Macro-F1: 92.17Micro-F1: 92.12 |
| heterogeneous-node-classification-on-dblp-2 | GCN | #8 | Macro-F1: 90.84Micro-F1: 91.47 |
| heterogeneous-node-classification-on-freebase | GCN | #7 | Macro-F1: 27.84Micro-F1: 60.23 |
| heterogeneous-node-classification-on-imdb | GCN | #8 | Macro-F1: 57.88Micro-F1: 64.82 |
| link-property-prediction-on-ogbl-citation2 | Full-batch GCN | #11 | Ext. data: NoTest MRR: 0.8474 ± 0.0021Validation MRR: 0.8479 ± 0.0023… |
| link-property-prediction-on-ogbl-collab | GCN (val as input) | #16 | Test Hits@50: 0.4714 ± 0.0145Ext. data: No… |
| link-property-prediction-on-ogbl-collab | GCN | #18 | Test Hits@50: 0.4475 ± 0.0107Ext. data: No… |
| link-property-prediction-on-ogbl-ddi | GCN+JKNet | #13 | Ext. data: NoTest Hits@20: 0.6056 ± 0.0869… |
| link-property-prediction-on-ogbl-ddi | GCN | #15 | Ext. data: NoTest Hits@20: 0.3707 ± 0.0507… |
| link-property-prediction-on-ogbl-ppa | GCN | #15 | Ext. data: NoTest Hits@100: 0.1867 ± 0.0132… |
| molecular-property-prediction-on-esol | GCN | #4 | RMSE: 0.520±0.024R2: 0.936±0.006 |
| molecular-property-prediction-on-freesolv | GCN | #6 | RMSE: 0.815±0.086R2: 0.957±0.009 |
| node-classification-on-brazil-air-traffic | GCN_cheby (Kipf and Welling, 2017) | #3 | Accuracy: 0.516 |
| node-classification-on-chameleon-60-20-20 | GCN | #18 | 1:1 Accuracy: 64.18 ± 2.62 |
| node-classification-on-citeseer | GCN | #48 | Accuracy: 70.3 |
| node-classification-on-citeseer-60-20-20 | GCN | #15 | 1:1 Accuracy: 81.39 ± 1.23 |
| node-classification-on-cora | GCN | #49 | Accuracy: 81.5% |
| node-classification-on-cora-60-20-20-random | GCN | #19 | 1:1 Accuracy: 87.78 ± 0.96 |
| node-classification-on-cornell-60-20-20 | GCN | #25 | 1:1 Accuracy: 82.46 ± 3.11 |
| node-classification-on-europe-air-traffic | GCN_cheby (Kipf and Welling, 2017) | #2 | Accuracy: 46.0 |
| node-classification-on-europe-air-traffic | GCN (Kipf and Welling, 2017) | #6 | Accuracy: 37.1 |
| node-classification-on-facebook | GCN_cheby (Kipf and Welling, 2017) | #5 | Accuracy: 64.6 |
| node-classification-on-facebook | GCN (Kipf and Welling, 2017) | #7 | Accuracy: 57.5 |
| node-classification-on-film-60-20-20-random | GCN | #29 | 1:1 Accuracy: 35.51 ± 0.99 |
| node-classification-on-flickr | GCN (Kipf and Welling, 2017) | #6 | Accuracy: 0.546 |
| node-classification-on-flickr | GCN_cheby (Kipf and Welling, 2017) | #7 | Accuracy: 0.479 |
| node-classification-on-genius | GCN | #14 | Accuracy: 87.42 ± 0.37 |
| node-classification-on-non-homophilic | GCN | #25 | 1:1 Accuracy: 82.46 ± 3.11 |
| node-classification-on-non-homophilic-1 | GCN | #23 | 1:1 Accuracy: 75.5 ± 2.92 |
| node-classification-on-non-homophilic-13 | GCN | #11 | 1:1 Accuracy: 82.47 ± 0.27 |
| node-classification-on-non-homophilic-14 | GCN | #16 | 1:1 Accuracy: 87.42 ± 0.37 |
| node-classification-on-non-homophilic-15 | GCN | #20 | 1:1 Accuracy: 62.18 ± 0.26 |
| node-classification-on-non-homophilic-2 | GCN | #22 | 1:1 Accuracy: 83.11 ± 3.2 |
| node-classification-on-non-homophilic-4 | GCN | #17 | 1:1 Accuracy: 64.18 ± 2.62 |
| node-classification-on-non-homophilic-6 | GCN | #21 | 1:1 Accuracy: 62.23±0.53 |
| node-classification-on-penn94 | GCN | #15 | Accuracy: 82.47 ± 0.27 |
| node-classification-on-pubmed | GCN | #42 | Accuracy: 79.0 |
| node-classification-on-pubmed-60-20-20-random | GCN | #23 | 1:1 Accuracy: 88.9 ± 0.32 |
| node-classification-on-squirrel-60-20-20 | GCN | #22 | 1:1 Accuracy: 44.76 ± 1.39 |
| node-classification-on-texas-60-20-20-random | GCN | #24 | 1:1 Accuracy: 83.11 ± 3.2 |
| node-classification-on-wisconsin-60-20-20 | GCN | #26 | 1:1 Accuracy: 75.5 ± 2.92 |
| node-property-prediction-on-ogbn-arxiv | GCN+residual+6 layers | #45 | Test Accuracy: 0.7286 ± 0.0016Ext. data: No… |
| node-property-prediction-on-ogbn-arxiv | GCN+residual+node2vec | #46 | Test Accuracy: 0.7278 ± 0.0013Ext. data: No… |
| node-property-prediction-on-ogbn-arxiv | GCN_res + 8 layers | #50 | Test Accuracy: 0.7262 ± 0.0037Ext. data: No… |
| node-property-prediction-on-ogbn-arxiv | GCN | #67 | Test Accuracy: 0.7174 ± 0.0029Ext. data: No… |
| node-property-prediction-on-ogbn-products | Full-batch GCN | #52 | Test Accuracy: 0.7564 ± 0.0021Ext. data: No… |
| node-property-prediction-on-ogbn-proteins | GCN | #20 | Ext. data: NoTest ROC-AUC: 0.7251 ± 0.0035… |